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Exponential stabilisation analysis of a class of delayed inertial memristive neural networks

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成果类型:
期刊论文
作者:
Zhao, Jiemei;Zhang, Zhuoyi;Yang, Dongliang
通讯作者:
Jiemei Zhao
作者机构:
[Zhang, Zhuoyi; Zhao, Jiemei] Wuhan Polytech Univ, Sch Math & Comp Sci, Wuhan 430023, Peoples R China.
[Yang, Dongliang] Heilongjiang Acad Sci, Inst Intelligent Mfg, Harbin, Peoples R China.
通讯机构:
[Jiemei Zhao] S
School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, People's Republic of China
语种:
英文
关键词:
Inertial memristive neural networks;exponential stabilisation;unbounded time-varying delays;Filippov solution
期刊:
International Journal of Control
ISSN:
0020-7179
年:
2023
卷:
96
期:
10
页码:
2438-2446
基金类别:
Science and Technology Research Project of Education Department of Hubei Province [D20211604]; Natural Science Foundation of Heilongjiang Province [LH2020F049]
机构署名:
本校为第一机构
院系归属:
数学与计算机学院
摘要:
This paper focuses on the exponential stabilisation problem of inertial memristive neural networks (IMNNs) with unbounded discrete time-varying delays. The considered IMNNs are modelled by second-order derivatives equations by introducing the inertial terms. By using nonsmooth analysis, Lyapunov stability theory, inequality techniques and integral-differential of Lyapunov functional method, a feedback controller is designed to guarantee pth moment exponential stabilisation of the addressed IMNNs under the framework of Filippov solutions. It is worth noticing that the considered time delays of ...

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